Production-ready for common use cases

ML Kit comes with a set of ready-to-use APIs for common mobile use cases: recognizing text, detecting faces, scanning barcodes, labeling images and recognizing landmarks. You simply pass in data to the ML Kit library and it will give you the information you need - all in a few lines of code.

On-device or in the Cloud

ML Kit gives you both on-device and Cloud APIs, all in a common and simple interface, allowing you to choose the ones that fit your requirements best. The on-device APIs process data quickly and will work even when there’s no network connection, while the cloud-based APIs leverage the power of Google Cloud Platform's machine learning technology to give a higher level of accuracy.

Deploy custom models

If ML Kit’s APIs don’t cover your use cases, you can always bring your own existing TensorFlow Lite models. Just upload your model on to Firebase, and we’ll take care of hosting and serving it to your app. ML Kit acts as an API layer to your custom model, making it easy to run and use. You can also train a custom model using AutoML Vision and then easily deploy that model via ML Kit.

Part of the Firebase platform

Firebase helps you develop high-quality apps, grow your user base, and earn more money. Each feature works independently, and they work even better together.